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Sonicate Fluid Cellularity Predicted by Transcriptomic Deconvolution Differentiates Infectious from Non-Infectious Arthroplasty Failure.

Cody R FisherJordan Edward KrullAditya BhagwateThao MastersKerryl E Greenwood-QuaintanceMatthew P AbdelRobin Patel
Published in: The Journal of bone and joint surgery. American volume (2022)
CIBERSORTx can predict the cellularity of sonicate fluid using transcriptomic data, allowing for the evaluation of the underlying immune response during the PJIF and NIAF cases, without a need to phenotypically assess cell composition.
Keyphrases
  • single cell
  • immune response
  • rna seq
  • cell therapy
  • electronic health record
  • big data
  • dendritic cells
  • toll like receptor
  • machine learning
  • mesenchymal stem cells
  • data analysis